Recognition of visual events as a video analysis task has become popular in machine learning community. While the traditional approaches for detection of video events have been used for a long time, the recently evolved deep learning based methods have revolutionized this area. They have enabled event recognition systems to achieve detection rates which were not reachable by traditional approac...

Background and Objective:  Midwifery students should consider both maternal and fetal health. Hence, this study was conducted to compare the effects of simulation video education with lecture on midwifery students’ knowledge and self-confidence regarding cardiopulmonary assessment. Materials and Methods:  In this quasi experimental study, 28 midwifery students randomly alloca...

Introduction: There are methodological challenges on the subject of communication skills training despite general agreement on its advantages. This study was performed to compare the effect of communication skills training through video feedback with the usual method of lecture. Methods: This quasi-experimental double-blind prospective study was performed on two groups of 20 interns in the ye...

Transmission of compressed video over error prone channels may result in packet losses, which can degrade the image quality. Error concealment (EC) is an effective approach to reduce the degradation caused by the missed information. The conventional temporal EC techniques are always inefficient when the motions of the video object are irregular. In this paper, in order to overcome this problem,...